Brain-wide Electrical Spatiotemporal Dynamics Encode Depression Vulnerability.
Brain-wide Electrical Spatiotemporal Dynamics Encode Depression Vulnerability.
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DOI：
10.1016/j.cell.2018.02.012
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发表时间：
2018-03-22
期刊：
影响因子：
64.5
通讯作者：
Dzirasa K
中科院分区：
文献类型：
--
作者：
Hultman R;Ulrich K;Sachs BD;Blount C;Carlson DE;Ndubuizu N;Bagot RC;Parise EM;Vu MT;Gallagher NM;Wang J;Silva AJ;Deisseroth K;Mague SD;Caron MG;Nestler EJ;Carin L;Dzirasa K
局部场电位振荡的全脑波动反映了介导行为的新兴网络级信号。破解这些振荡在时间和空间上协调（时空动力学）以代表复杂行为的代码，将为大脑如何发出情感病理信号提供基本的见解。利用机器学习，我们发现了一个时空动态网络，可以预测遭受慢性社交失败压力的小鼠出现与重度抑郁症（MDD）相关的行为功能障碍。该网络中的活动模式起源于前额皮质和腹侧纹状体，通过杏仁核和腹侧被盖区传递，并汇聚于腹侧海马。该网络因严重威胁而增强，并且在MDD漏洞的三个独立模型中也得到增强。最后，我们证明这个脆弱性网络在生物学上不同于编码压力后功能障碍的网络。因此，这些发现揭示了大脑中介导 MDD 脆弱性的趋同机制。大脑活动模式可预测应激时的抑郁脆弱性与恢复能力
Brain-wide fluctuations in local field potential oscillations reflect emergent network-level signals that mediate behavior. Cracking the code whereby these oscillations coordinate in time and space (spatiotemporal dynamics) to represent complex behaviors would provide fundamental insights into how the brain signals emotional pathology. Using machine learning, we discover a spatiotemporal dynamic network that predicts the emergence of major depressive disorder (MDD)-related behavioral dysfunction in mice subjected to chronic social defeat stress. Activity patterns in this network originate in prefrontal cortex and ventral striatum, relay through amygdala and ventral tegmental area, and converge in ventral hippocampus. This network is increased by acute threat, and it is also enhanced in three independent models of MDD vulnerability. Finally, we demonstrate that this vulnerability network is biologically distinct from the networks that encode dysfunction after stress. Thus, these findings reveal a convergent mechanism through which MDD vulnerability is mediated in the brain. Patterns of brain activity predict vulnerability versus resilience to depression in response to stress
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影响因子：
16.2
作者：
Kajikawa Y;Schroeder CE
通讯作者：
Schroeder CE
DOI：
10.1523/jneurosci.4891-12.2013
发表时间：
2013-03-06
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Dzirasa K;Kumar S;Sachs BD;Caron MG;Nicolelis MA
通讯作者：
Nicolelis MA
影响因子：
82.9
作者：
Drysdale AT;Grosenick L;Downar J;Dunlop K;Mansouri F;Meng Y;Fetcho RN;Zebley B;Oathes DJ;Etkin A;Schatzberg AF;Sudheimer K;Keller J;Mayberg HS;Gunning FM;Alexopoulos GS;Fox MD;Pascual-Leone A;Voss HU;Casey BJ;Dubin MJ;Liston C
通讯作者：
Liston C
影响因子：
10.6
作者：
Brachman RA;McGowan JC;Perusini JN;Lim SC;Pham TH;Faye C;Gardier AM;Mendez-David I;David DJ;Hen R;Denny CA
通讯作者：
Denny CA
影响因子：
17.7
作者：
Kendler, KS;Karkowski, LM;Prescott, CA
通讯作者：
Prescott, CA